Computer vision system for industrial screwing automation

This project proposes a software that incorporates computer vision algorithms to detect screw types, screw locations, and to locate screw holes on an object to ensure a smooth flow of automated assembly processes. The existing systems are found to be less adaptable for performing automated assembly...

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Bibliographic Details
Main Author:	Marei, Omar Mohammed Shafiq
Format:	Thesis
Language:	English
Published:	2020
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/93141/1/OmarMohammedShafiqMSKE2020.pdf

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